Bosque Dr. Noeline Ave. Dickens St. Hesperia Ave. Woodvale Rd. High Knoll Rd. Lake Encino Dr. Genesta Ave. Palora St. Andasol Ave. Rubio Ave. Firmament Ave. Amestoy Ave. Royal Woods Dr. White Oak Pl. Westfall Dr.
Alana Dr. N Havenhurst Dr. Margate St. Gaviota Ave. Enfield Ave. Medley Dr. Ballina Canyon Rd. Tiara St. Calneva Dr. Strawberry Dr. Green Vista Dr. Delano St. Shoshone Ave. Meadowcrest Rd. Oldham St. Balcom Ave. Valley Meadow Pl. Jamieson Ave. Miranda St. Caribeth Dr. Alginet Dr. Sherman Oaks Ave. Coronet Dr. Gable Dr. Erwin St. Ostrom Ave. Duncan St. Mulholland Dr. Babbitt Ave. Tarzana St. Royal Ridge Rd. Wish Ave. Crownridge Dr. Mooncrest Dr. Ballina Dr. Huston St.
Castlewood Dr Castlewoods Dr. Hartsook St. Lasaine Ave. Texhoma Ave. Emelita St. Califa St. Boris Dr. Rhoda St. Oak Park Ave. Tudor Dr. Karen Dr. Greenleaf St. Grimes Pl. Bessemer St. Sutton St. Santa Rita St. Lanai Rd. Orion Ave. Mandalay Dr. Royal Hills Dr. Clear Valley Dr. Red Rose Dr. Graves Ave. Quesan Pl. Empress Ave. Calvert St. Hilton Head Way. Chardon Cir. Terrace View Dr. Collett Ave. Albers St. Royal Meadow Rd.
Meadowgate Rd. Huerta Rd. Valley Wood Rd. Gaynor Ave. Aqueduct Ave. Hesby St. Green Meadow Dr. Vista Linda Dr. Valjean Ave. Falling Leaf Dr. Bertrand Ave. Dempsey Ave. Sweet Elm Dr. Bergamo Dr. Burma St. Estrondo Dr. Rock Hampton Dr. Topham St. Meadow Ridge Rd. Skytop Rd. Tobin Way.
Odessa Ave. Portico Pl. High Valley Rd. Corinthian Dr. Archdale Rd. Forbes Ave. Sherman Oaks Cir. Garvin Dr. Regal Vista Dr. Bajio Rd. Encino Hills Pl. Dorilee Ln. Fond Dr. Ashley Oaks.
Chaplin Ave. Lindley Ave. Dellvale Pl. Bonavita Dr. Embassy Dr. Paso Robles Ave. Severo Pl. Park Encino Ln. Sumiya Dr. Charmion Ln. Non-White Population by Neighborhood 25 Percentage of the total population.
Scope: population of Encino, selected other neighborhoods in Los Angeles, and entities that contain Encino. Count number of non-whites rank of neighborhood out of by percentage non-white 1 non-Hispanic 2 excluding black and Asian Hispanics. White 1 Population by Neighborhood 27 Percentage of the total population. Count number of whites rank of neighborhood out of by percentage whites 1 non-Hispanic. Definitions Throughout these reports we will refer to several racial and ethnic groups, the definitions of which derive from those used by the US Census Bureau.
In the interests of brevity and clarity we have combined several of the Census categories yielding the following mutually exclusive and collectively exhaustive categories: White: non-Hispanic whites Hispanic: Hispanics, excluding black and Asian Hispanics Black: blacks, including Hispanic blacks Asian: Asians, including Hispanic Asians Mixed: non-Hispanic mixed race people Other: American Indians and other groups not otherwise categorized In all cases, racial and ethnic classification is based on self-identification.
Education Educational Attainment School Enrollment. Unified School District:. Congressional Districts:. CA , CA Neighboring Neighborhoods:. Encino, Los Angeles, California Neighborhood 46, 18, White 1. Hispanic 2. Mixed 3. Black 3. Asian 3. Other 3. Neighborhoods that score highest for mixed ages have the most equitable distribution across all age groups, from infants to senior citizens, all living in the same neighborhood. Marital status is defined based on the percentage of residents who are 18 and over.
We are not able to include same-sex marriages here because of data limitations. Same-sex couple data is available under Household Type.
These are people currently active in the military. They may live on base or off base. These are students enrolled in higher education as either undergraduates or graduate students. They may live on campus or in off campus housing. These are the types of employers who neighborhood residents work for.
You can find neighborhoods where residents cluster into particular industries, often to be near particular employers or institutions. How you get to work — car, bus, train or other means — and how much of your day it takes to do so is a large quality of life and financial issue. The share of using each mode of transport is measured as percentage of all working adults. The time is calculated for all residents working outside the home.
The number of vehicles the average household in the neighborhood possesses is a function of wealth, space constraints, the age people of the household e.
The measure is defined as the number of vehicles registered per household, as a percentage of all households in the neighborhood. The percent of all current neighborhood residents who were not living in the same house one year ago. Very high values show a lack of stability in the neighborhood. Very low values may represent insularity to outsiders. This value will be high in neighborhoods that attract new residents from around the country, and low in places where most residents grew up within the same state.
Foreign Born residents have immigrated to the United States from another country and may or may not be naturalized citizens. These are the ways neighborhood residents have self-reported their race and ethnicity to the US Census.
Asian and Hispanic residents may identify with one of the more specific subcategories. Occupations are calculated as a percentage of all working adults. These are the most common groups that neighborhood residents self- report as their ancestry.
Places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. The percent of neighborhood residents who are seeking employment, but are currently unemployed.
Income is measured either on a per capita basis or median household income. Per capita is the best measure of the average spending power of each person in the neighborhood. Median household income provides the best measure of the budget of the typical family or other non-family household. How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood.
The percentage of adults aged 25 and older that have attained at least a 4 year college degree like a BA. This graph plots how this neighborhood falls on two of the most important and defining dimensions for a neighborhood - educational attainment of adults living in the neighborhood, and household income.
These two elements more than most others, define a neighborhood and help to create its character. Each is on a scale from 0 to Where the two intersect is where the dot is plotted representing this neighborhood.
Mouse over the descriptions next to the plotted dot for further definition. Where is data? Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9. S, including over 2 million geocoded point locations….
Read more about Scout's Crime Data. Crime risk data are updated annually. Crime Data FAQs. Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location.
Read more about Scout's School Data. Know how good the public schools are before you buy a home, invest, or relocate. You can search for and find the best schools in any area. Only NeighborhoodScout gives you nationally comparable school rankings based on test scores, so you can directly compare the quality of schools in any location.
In fact, our nationally comparable school ratings are patented. We also give you the ability to put in the school quality and class size you want, and the search engine will return the best neighborhoods for education in a list and map your results to the neighborhood level. We are the only information provider to have this level of search functionality. Another NeighborhoodScout exclusive.
Rates the quality of all K public schools that serve this neighborhood. Use NeighborhoodScout to determine the quality of the specific schools that serve each neighborhood, whether it is served by 1 or multiple school districts. Read More. Depending on where you live in the neighborhood, your children may attend certain schools from the above list and not others.
In some cases, districts allow students to attend schools anywhere in the district. Always check with your local school department to determine which schools your children may attend based on your specific address and your child's grade-level.
The result? It is well known that the quality of education provided by public schools varies greatly from school district to school district, and from city to city. Still further, the quality of a child's education can vary significantly from neighborhood to neighborhood within any city or town. Raw data sources: U. Geological Service, U.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood block group in the U.
Read more. The 3 year appreciation forecast for each neighborhood is classified into 1 - 5 categories based on how this neighborhood's forecast 3 year performance compares to the real estate appreciation rates experienced in all neighborhoods nationwide for every 3 year period since This provides context for comparing what is very low, low, moderate, high, and rising star appreciation performance.
Developed by industry veterans and PhD geographers, Scout Vision uniquely solves for risk by forecasting home values with unprecedented geographic granularity and predictive accuracy:.
NeighborhoodScout reveals the home value trends and appreciation rates for every state, city, town, neighborhood, and micro-neighborhood in America.
NeighborhoodScout has calculated and provides home appreciation rates as a percentage change in the resale value of existing homes in that city, town, neighborhood or micro-neighborhood over the latest quarter, the last year, 2-years, 5-years, years, and even from to present. We show both the cumulative appreciation rate, and the average annual appreciation rate for each time period e.
We also show how each city, town, neighborhood or micro-neighborhood's appreciation rate compares to others across the U. This makes comparisons of house appreciation rates equally easy for professional investors and individual homebuyers.
In this example, the neighborhood is one of the highest appreciating in the nation over the last 5-years, but is only average in appreciation for the same period relative to other neighborhoods in the Santa Cruz-Watsonville, CA Metro Area. Our data are designed to capture changes in the value of single-family homes at the state, city, town, neighborhood and even micro-neighborhood level.
Different micro-neighborhoods within a city or town can have drastically different home appreciation rates. NeighborhoodScout vividly reveals such differences. Our data are built upon median house values per square foot in each neighborhood. The data reflect appreciation rates for the micro-neighborhood or neighborhood, not necessarily each individual property in the neighborhood.
Our data are calculated and updated every three months for each geography, approximately two months after the end of the previous quarter. Neighborhood appreciation rate data are based on transactions involving conforming, conventional mortgages.
Conforming refers to a mortgage that both meets the underwriting guidelines of Fannie Mae or Freddie Mac and that doesn't exceed the conforming loan limit, a figure linked to an index published by the Federal Housing Finance Board.
Conventional means that the mortgages are neither insured nor guaranteed by the FHA, VA, or other federal government entity. Mortgages on properties financed by government-insured loans, such as FHA or VA mortgages, are excluded, as are properties with mortgages whose principal amount exceeds the conforming loan limit.
The average nearby price per square foot is based on other locations a short drive away from the neighborhood. Then every neighborhood is ranked relative to both other neighborhoods in the region and all other neighborhoods in the nation. The average annual change in homeownership rates in the neighborhood during the latest five years. The market rental prices may be low, but are they going up? We calculate rental price trends as the average annual change in market rent paid in the neighborhood over the latest 5 years.
We measure the average annual increase or decrease in the percentage of college graduates living in a neighborhood over the most recent 5 years. College graduates are defined here as adults 25 and older with at least a 4-year college degree. We analyze school test performance for all schools that serve this location, and calculate the average annual increase or decrease in the school performance index, based on the percentage of students testing proficient or advanced in standardized testing.
We measure the average annual increase or decrease in per capita income in the neighborhood over the most recent 5 years. We measure the average annual increase or decrease in household income in the neighborhood over the most recent 5 years.
We measure the average annual increase or decrease in unemployment in the neighborhood over the most recent 5 years. We then calculate the percentage change in population for each distance. This reveals trends in demand for real estate that can drive pricing, or reveal declines in demand, at every relevant distance from the subject location. This provides context for comparing regional performance against historical benchmarking.
As this ratio becomes high, it becomes more difficult for local wages to support housing prices. As the Index approaches historical highs, it can be a warning of an overheated housing market that may be due for a pricing correction. Because demand varies from region to region and the proportion of household income expected to be spent on housing also varies greatly from region to region, the Scout Vision Housing Affordability Index is best used to compare affordability in a region over time to assess overheated markets, rather than using the Index to compare different regions at one point in time to assess market overheating.
The Regional Housing Affordability Index is reassessed and recalculated annually. Disclaimer Forecasts of potential occurrences or non-occurrences of future conditions and events are inherently uncertain. Actual results may differ materially from what is predicted in any information provided by Location Inc. Nothing contained in or generated by a Location Inc. No representation is made as to the accuracy of any forecast, estimate, or projection.
Location Inc. All risks associated with using the site and the data are borne by the user at user's sole cost and expense. By using the site you agree to our Terms of Use. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research. The algorithm uses neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity.
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